Author

Esther Opoku Gyasi

African Institute for Mathematical Sciences Ghana

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Alessandro CrimiiD· 1 shared Rija Tonny Christian Ramarolahy· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Alessandro CrimiORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 21, 2020

Classification and Generation of MicroscopyImages with Plasmodium Falciparum via ArtificialNeural Networks

Rija Tonny Christian Ramarolahy, Esther Opoku Gyasi, Alessandro Crimi

This paper develops a deep learning model for malaria parasite detection and synthetic image generation in microscopy images, achieving high classification accuracy and creating realistic images indistinguishable from real data.

DOI 10.1101/2020.07.21.214742

imagingdeep learning

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